Warp Oz alternatives for team agent orchestration
Published August 9, 2026 · by the AQ team
The right Warp Oz alternative depends on which part of Oz you want to replace. For team agent orchestration on infrastructure you control, without an enterprise contract, AQ is the most direct option. For a managed vendor cloud with mature dashboards, Cursor cloud agents and GitHub Copilot Agent HQ are the established choices. For open source, OpenHands and Emdash both qualify. For parallel agents on one machine, Conductor is free. All product claims below were checked against vendor sites and documentation in August 2026.
What Warp Oz is, and what you would be replacing
Oz launched on February 10, 2026 as "the orchestration platform for cloud agents," and it is now the center of Warp's pitch: as of August 2026, warp.dev presents the company as "the open platform for automating development," with the Oz product page promising "every agent at your command." Oz dispatches fleets of agent runs across multiple harnesses (Claude Code, Codex, and Warp's own agent), tracks them from a single dashboard, coordinates subagents on long tasks, and gives teams shareable run links, session joins for auditing, and audit trails. Warp also open sourced its terminal client in April 2026. It is a serious platform; if a dispatch-and-review software factory is what your team wants, evaluate Oz on its merits. AQ publishes a direct feature comparison at AQ vs Warp Oz.
Why teams go looking for an alternative
Four concerns come up repeatedly:
- Credit-metered billing. As of August 2026, Oz meters usage in credits across three buckets: AI credits for the model call, compute credits for the sandbox, and platform credits for run lifecycle, integrations, and observability, with monthly allotments per plan (Build 1,500 credits, Max 18,000, Business 1,500 per seat). Forecasting a team's cost means predicting all three meters.
- Where execution happens. Oz's default execution environment is Warp's cloud. Self-hosted workers are genuinely flexible (a managed daemon running tasks in Docker, Kubernetes, or on hosts, or an unmanaged mode your own scripts invoke), but self-hosting is exclusive to the Enterprise plan as of August 2026. If code custody matters and you are not an enterprise buyer, that gate is the whole problem.
- Runs, not rooms. Oz is oriented around agent runs you dispatch and review. Teammates view results, join sessions to audit, and watch dashboards. Teams that want to steer agents live, together, in the same terminal, are working against the grain.
- Platform-routed inference. Model calls go through Oz's credits rather than the Claude or ChatGPT subscriptions your engineers already pay for: a convenience or a second model bill, depending on usage.
Warp Oz alternatives at a glance
| Tool | Where agents execute | Agents | Price posture (August 2026) |
|---|---|---|---|
| Warp Oz (reference) | Warp's cloud; self-hosted on Enterprise | Claude Code, Codex, Warp's own agent | Credit-metered plans; Enterprise via sales |
| AQ | Your own VM, or an AQ-managed dedicated VM | Claude Code, Codex, Cursor Agent, Kimi, Grok, plain shells | Free (your VM); Team $100/user/mo promotional (standard $200) |
| Cursor cloud agents | Cursor's cloud; self-hosted workers for execution | Cursor's agent | Bundled with Cursor plans |
| GitHub Copilot Agent HQ | GitHub's cloud (sandboxed Actions) | From Anthropic, OpenAI, Google, Cognition, xAI | Included with paid Copilot |
| Claude Code on the web | Anthropic's cloud; self-hosted environments in beta | Claude Code only | Included with Pro, Max, Team, Enterprise |
| OpenHands | Their cloud, or self-hosted/VPC | Its own agent, your model keys | Open source; paid cloud |
| Emdash | Your machine, or remote over SSH | 20+ CLI agents on your PATH | Free, Apache 2.0 |
| Conductor | Your Mac | Claude Code, Codex, Cursor agents | Free |
1. AQ: team orchestration on a VM you control
AQ is the multiplayer coding harness where engineering teams run AI coding agents like Claude Code and Codex together: shared live terminals, a code editor, and app previews, in your own cloud.
AQ replaces the two things Oz gates or lacks. First, custody without the enterprise contract: agents run as real CLIs (Claude Code, Codex, Cursor Agent, Kimi, Grok, or plain shells) in persistent tmux sessions on your team's VM, with no shared multi-tenant execution tier. Each engineer signs into the CLIs with their own Claude or OpenAI account, so inference rides the subscriptions you already pay for; AQ never marks up model usage. Second, live collaboration instead of run review: sessions stream to the browser, survive a closed laptop, resume from any device, and teammates who open the same workspace watch the same live session. Typing into someone else's terminal is delegated, not ambient: the owner approves a control request in one click and keeps their own input. Workspace visibility is owner-managed: team-visible, or private and shared with specific people.
The orchestration loop is covered end to end. Every workspace gets one isolated git worktree on a branch named ai/{id}-{slug}, with automatic dependency install and one-click rebase onto main, so parallel tasks never collide. Agents commit, push, and open PRs with per-user GitHub auth, and PRs are tracked on the workspace. Each workspace can run a live dev-server preview with shareable links that work without an account for viewing, and comments pinned on the preview can be sent to the agent as prompts. Label a Linear issue ai-task and a workspace appears, status syncing both ways, ownership following the assignee; humans start agents, nothing auto-launches. Runner health is visible in-product, and aq-runner doctor diagnoses a broken host.
Pricing is flat instead of credit-metered. Free gets the full product on a VM you bring (you pay your cloud provider directly). Team is $100 per user per month promotional (standard $200, billed monthly) and includes a dedicated always-on AQ-managed VM in its own isolated network, rate locked for your first 12 months; newly invited teammates' seats are free for their first 14 days. Fit: teams that want Oz-style orchestration with execution custody by default and humans in the session, not just in the audit log.
2. Cursor cloud agents: a vendor cloud with self-hosted execution
Cursor's cloud agents run on dedicated VMs in Cursor's cloud, and since March 25, 2026 teams can attach self-hosted workers: processes on your infrastructure that connect outbound with no inbound ports, keeping code, tool execution, and build artifacts inside your network, with a Helm chart and Kubernetes operator for fleets (up to 10 workers per user and 50 per team as of August 2026). The nuance: planning and model inference stay in Cursor's cloud, so source-derived context still leaves your network, and you run Cursor's agent rather than a choice of CLIs. Fit: teams already paying for Cursor that want background agents from the editor they use all day.
3. GitHub Copilot Agent HQ: orchestration inside GitHub
Agent HQ turns GitHub itself into the orchestration surface. Its mission control view assigns, steers, and tracks agents from GitHub, VS Code, mobile, and the CLI, and coding agents from Anthropic, OpenAI, Google, Cognition, and xAI plug in under a paid Copilot subscription as of August 2026, with sensible guardrails: agents commit only to designated branches and execute in sandboxed GitHub Actions environments. Fit: teams that want delegation without adopting a new tool, accepting that execution lives in GitHub's cloud and the unit of work is the resulting pull request, not a session you watch.
4. Claude Code on the web: Anthropic's own cloud sessions
Anthropic runs Claude Code sessions on managed cloud infrastructure at claude.ai/code, in research preview for Pro, Max, Team, and Enterprise users as of August 2026. Sessions persist after you close the browser and can be monitored from the mobile app, and on August 6, 2026 Anthropic opened a public beta of self-hosted environments letting Team and Enterprise organizations run those sessions inside their own network. Fit: teams standardized on Claude. It is single-harness by design (no Codex, no mixed fleets), and sessions belong to individual accounts rather than a shared team surface.
5. OpenHands: the open source platform
OpenHands is the most established open source route: a cloud coding agent platform you can use hosted or deploy yourself, up to VPC and Kubernetes setups, with role-based access control, audit trails, and admin dashboards aimed at exactly the governance Oz sells. The company raised an $18.8M Series A in November 2025. Two differences matter: OpenHands runs its own agent against model API keys you supply, not the Claude Code or Codex CLIs your team may already know, and in the self-hosted case you operate it yourself. Fit: teams for whom "we could run every piece ourselves forever" is a requirement.
6. Emdash and Conductor: free parallel agents, minus the team layer
Two free tools cover the orchestration mechanics without the team platform. Emdash (Apache 2.0, YC W26) wraps any CLI agent on your PATH (20+ providers) in isolated git worktrees, pulls tasks from Linear, GitHub, Jira, and other trackers, and can drive remote machines over SSH. Conductor is a free Mac app running parallel Claude Code, Codex, and Cursor agents in local worktrees. Both are single-player as of August 2026: no shared live sessions, no org-wide visibility, and agents stop when your machine does. Fit: solo engineers, or teams comfortable assembling their own glue; the manual version of that assembly is covered in AQ's guide to self-hosted AI coding agents.
How to choose
Start from custody and billing, because they are the hardest to retrofit. If execution must stay on infrastructure you control without an enterprise deal, the realistic list is AQ, OpenHands, or Emdash on your own boxes; of those, only AQ gives teammates the same live terminal, editor, and preview. If vendor-cloud execution is acceptable, Agent HQ is the lowest-friction choice for GitHub-centric teams, Cursor cloud agents for Cursor shops, and Claude Code on the web for Claude-only teams. And if what you liked about Oz was fleets of runs with routing and audit trails, and Enterprise procurement is fine, Oz remains the strongest version of that model. The deeper question is the one covered in agent orchestration: whether your bottleneck is dispatching more runs, or humans steering the runs you already have.
Frequently asked questions
Is Warp Oz self-hosted or cloud only?
Both, with a gate. As of August 2026, Oz runs agents in Warp's cloud by default, and self-hosted workers (a managed daemon executing in Docker, Kubernetes, or on hosts, or an unmanaged mode your own scripts invoke) are available exclusively on the Enterprise plan. If you want self-hosted execution without an enterprise contract, look at AQ, OpenHands, or Emdash.
What is the cheapest Warp Oz alternative?
For one person, free tools cover the mechanics: Conductor on a Mac, or Emdash anywhere, both driving the CLI subscriptions you already pay for. For a team that needs shared visibility, AQ's Free plan runs the full product on a VM you bring (you pay only your cloud provider), and the Team plan is a flat $100 per user per month promotional (standard $200) rather than metered credits.
Which Warp Oz alternatives run the coding CLIs I already subscribe to?
AQ runs Claude Code, Codex, Cursor Agent, Kimi, Grok, and plain shells as real CLIs with each user's own logins, and never marks up model usage. Emdash wraps 20+ CLI agents found on your PATH, and Conductor runs Claude Code, Codex, and Cursor agents locally. By contrast, Cursor cloud agents run Cursor's own agent, OpenHands runs its own agent against your API keys, and Copilot Agent HQ bills through your Copilot subscription.
Can teammates watch and steer the same agent session in these tools?
Mostly no. Oz offers shareable run links and session joins for auditing as of August 2026, and Agent HQ and Cursor surface progress dashboards, but the collaboration artifact is a run or a pull request. AQ is the exception: teammates open the same workspace and watch the same live terminal, and the session owner can delegate control with a one-click approval while keeping their own input.
Does leaving Warp Oz mean giving up parallel agents?
No. Parallel isolation via git worktrees is table stakes across this category: AQ creates one isolated worktree per workspace automatically, and Emdash and Conductor do the same locally. What varies is everything around the parallelism: who can see the sessions, where they execute, and how the work syncs back to your tracker and your PRs.